37 citations · 75 across the 16 of their papers we have counts for
5 papers · 1 filter
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization
Lin Li, Michael Spratling
Adversarial training is widely used to improve the robustness of deep neural networks to adversarial attack. However, adversarial training is prone to overfitting, and the cause is…
Antibody Representation Learning for Drug Discovery
Lin Li, Esther Gupta, John Spaeth +3
Therapeutic antibody development has become an increasingly popular approach for drug development. To date, antibody therapeutics are largely developed using large scale experiment…
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph
Aiwei Liu, Xuming Hu, Li Lin +1
The generalizability to new databases is of vital importance to Text-to-SQL systems which aim to parse human utterances into SQL statements. Existing works achieve this goal by lev…
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation
Lin Li, Long Chen, Hanrong Shi +4
The Scene Graph Generation (SGG) task aims to detect all the objects and their pairwise visual relationships in a given image. Although SGG has achieved remarkable progress over th…
Video is All You Need: Attacking PPG-based Biometric Authentication
Lin Li, Chao Chen, Lei Pan +2
Unobservable physiological signals enhance biometric authentication systems. Photoplethysmography (PPG) signals are convenient owning to its ease of measurement and are usually wel…